The owls example diagnostics were originally in the appendix, but now live in this document to minimise the length of the supplement.
| rowname | mean | sd | n_eff | Rhat | Bulk_ESS | Tail_ESS | valid | se_mean | 1% | 2.5% | 10% | 50% | 90% | 97.5% | 99% | Q5 | Q50 | Q95 | MCSE_Q1 | MCSE_Q2.5 | MCSE_Q10 | MCSE_Q50 | MCSE_Q90 | MCSE_Q97.5 | MCSE_Q99 | MCSE_SD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| v[5] | -1.1637215 | 0.3970025 | 29752 | 1.000345 | 29774 | 50348 | 1 | 0.0023016 | -2.0991431 | -1.950286 | -1.6741696 | -1.160669 | -0.6571480 | -0.3952717 | -0.2525858 | -1.8209121 | -1.160669 | -0.5165099 | 0.0060204 | 0.0045647 | 0.0034430 | 0.0025107 | 0.0030968 | 0.0050961 | 0.0055631 | 0.0016275 |
| v[3] | -0.0298675 | 0.2470921 | 25518 | 1.000286 | 25526 | 44131 | 1 | 0.0015465 | -0.6093158 | -0.514765 | -0.3460832 | -0.028905 | 0.2854917 | 0.4527495 | 0.5455072 | -0.4355493 | -0.028905 | 0.3746568 | 0.0035529 | 0.0028821 | 0.0018834 | 0.0016359 | 0.0021049 | 0.0033161 | 0.0042712 | 0.0010936 |
| rowname | mean | sd | n_eff | Rhat | Bulk_ESS | Tail_ESS | valid | se_mean | 1% | 2.5% | 10% | 50% | 90% | 97.5% | 99% | Q5 | Q50 | Q95 | MCSE_Q1 | MCSE_Q2.5 | MCSE_Q10 | MCSE_Q50 | MCSE_Q90 | MCSE_Q97.5 | MCSE_Q99 | MCSE_SD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| bp[5] | 0.5086961 | 0.7844574 | 63004 | 1.000180 | 63350 | 64774 | 1 | 0.0031266 | -1.3181734 | -1.0159529 | -0.4776929 | 0.4990231 | 1.5090835 | 2.0842633 | 2.4050763 | -0.7575012 | 0.4990231 | 1.8121690 | 0.0124849 | 0.0082018 | 0.0055144 | 0.0033047 | 0.0056808 | 0.0092535 | 0.0156610 | 0.0023994 |
| bp[12] | 1.7001173 | 0.9590478 | 65078 | 1.000146 | 67102 | 60223 | 1 | 0.0037591 | -0.3426315 | -0.0340295 | 0.5217426 | 1.6469046 | 2.9447041 | 3.7353291 | 4.2027545 | 0.2171699 | 1.6469046 | 3.3632794 | 0.0102126 | 0.0080149 | 0.0047402 | 0.0041607 | 0.0077367 | 0.0128247 | 0.0220208 | 0.0028747 |
| bp[17] | -2.2605236 | 1.2822024 | 69358 | 1.000139 | 72313 | 64352 | 1 | 0.0048664 | -5.6630424 | -5.0368963 | -3.9623678 | -2.1618269 | -0.7013253 | -0.0250960 | 0.3142353 | -4.5302549 | -2.1618269 | -0.3377610 | 0.0249826 | 0.0167168 | 0.0100819 | 0.0051231 | 0.0065340 | 0.0086871 | 0.0115343 | 0.0037328 |
| bp[7] | 1.6440875 | 0.8175606 | 53630 | 1.000136 | 54121 | 62039 | 1 | 0.0035295 | -0.1648866 | 0.1124377 | 0.6260855 | 1.6143076 | 2.7008573 | 3.3397728 | 3.7134583 | 0.3522940 | 1.6143076 | 3.0366474 | 0.0098411 | 0.0076894 | 0.0059474 | 0.0038998 | 0.0067470 | 0.0094944 | 0.0161505 | 0.0025568 |
| bp[16] | 2.4515667 | 1.2687353 | 63693 | 1.000127 | 66966 | 59675 | 1 | 0.0050240 | -0.1565240 | 0.2140929 | 0.9093065 | 2.3557436 | 4.1205033 | 5.1996655 | 5.8226503 | 0.5399201 | 2.3557436 | 4.6847978 | 0.0139919 | 0.0086681 | 0.0065730 | 0.0053027 | 0.0097887 | 0.0165390 | 0.0287161 | 0.0038300 |
| bp[25] | 1.5740120 | 1.2671315 | 51472 | 1.000117 | 53589 | 56774 | 1 | 0.0055834 | -0.8405487 | -0.5315313 | 0.0758154 | 1.4388352 | 3.2780712 | 4.4254838 | 5.0679844 | -0.2548834 | 1.4388352 | 3.8775319 | 0.0107083 | 0.0087598 | 0.0056627 | 0.0063082 | 0.0121331 | 0.0192154 | 0.0234746 | 0.0041397 |
| bp[3] | 1.0859111 | 0.7325786 | 59591 | 1.000082 | 59987 | 62758 | 1 | 0.0029998 | -0.5558430 | -0.3033001 | 0.1643164 | 1.0682592 | 2.0283953 | 2.5906542 | 2.9060265 | -0.0818336 | 1.0682592 | 2.3196378 | 0.0109164 | 0.0067626 | 0.0040900 | 0.0032479 | 0.0051537 | 0.0094577 | 0.0112898 | 0.0021939 |
| bp[23] | -0.6667710 | 0.8621374 | 69551 | 1.000076 | 70335 | 65708 | 1 | 0.0032686 | -2.8141899 | -2.4322033 | -1.7678687 | -0.6439015 | 0.4063109 | 0.9855331 | 1.3008434 | -2.1115524 | -0.6439015 | 0.7113171 | 0.0160209 | 0.0107786 | 0.0068470 | 0.0037566 | 0.0052886 | 0.0085865 | 0.0134690 | 0.0026236 |
| bp[2] | 1.3342073 | 0.6884622 | 61881 | 1.000069 | 62608 | 62051 | 1 | 0.0027675 | -0.1837483 | 0.0512987 | 0.4753865 | 1.3100902 | 2.2224096 | 2.7495197 | 3.0562782 | 0.2425286 | 1.3100902 | 2.5085913 | 0.0104780 | 0.0053475 | 0.0033296 | 0.0028869 | 0.0053767 | 0.0084021 | 0.0118336 | 0.0020417 |
| bp[19] | -2.3036066 | 1.2726245 | 68023 | 1.000067 | 70829 | 63308 | 1 | 0.0048776 | -5.6832152 | -5.0739472 | -3.9907657 | -2.2042942 | -0.7604267 | -0.0812469 | 0.2522439 | -4.5526575 | -2.2042942 | -0.3980365 | 0.0226147 | 0.0170252 | 0.0102767 | 0.0051602 | 0.0060291 | 0.0088682 | 0.0139035 | 0.0037341 |
| bp[4] | 1.9757219 | 0.7549037 | 56053 | 1.000066 | 57145 | 58460 | 1 | 0.0031879 | 0.3728642 | 0.6074469 | 1.0392071 | 1.9382943 | 2.9569772 | 3.5676590 | 3.9147815 | 0.8027079 | 1.9382943 | 3.2797806 | 0.0088997 | 0.0059907 | 0.0040358 | 0.0033090 | 0.0062091 | 0.0099662 | 0.0161752 | 0.0023300 |
| bp[13] | 0.5813253 | 0.9092773 | 65864 | 1.000060 | 66545 | 65576 | 1 | 0.0035408 | -1.5163299 | -1.1761775 | -0.5548206 | 0.5675498 | 1.7378573 | 2.4141656 | 2.8074627 | -0.8865236 | 0.5675498 | 2.0882032 | 0.0116273 | 0.0098479 | 0.0054091 | 0.0039236 | 0.0065692 | 0.0117235 | 0.0190579 | 0.0027983 |
| bp[10] | 1.8364588 | 1.4160375 | 70810 | 1.000059 | 72294 | 62253 | 1 | 0.0053207 | -1.2109225 | -0.7623808 | 0.0954488 | 1.7639634 | 3.6808375 | 4.8168022 | 5.4825704 | -0.3584038 | 1.7639634 | 4.2744321 | 0.0185807 | 0.0115633 | 0.0075352 | 0.0056991 | 0.0105657 | 0.0169408 | 0.0273587 | 0.0041787 |
| bp[8] | 1.0829658 | 0.7700826 | 55549 | 1.000055 | 55771 | 62853 | 1 | 0.0032664 | -0.6683257 | -0.3913737 | 0.1181528 | 1.0690881 | 2.0722878 | 2.6346354 | 2.9516118 | -0.1559759 | 1.0690881 | 2.3720673 | 0.0096290 | 0.0070161 | 0.0049676 | 0.0035565 | 0.0057538 | 0.0090606 | 0.0120903 | 0.0023518 |
| bp[1] | -0.5038009 | 0.8566026 | 69834 | 1.000052 | 70606 | 66116 | 1 | 0.0032412 | -2.6475403 | -2.2679068 | -1.6020696 | -0.4812295 | 0.5641634 | 1.1117430 | 1.4219795 | -1.9516324 | -0.4812295 | 0.8600996 | 0.0161158 | 0.0135247 | 0.0065357 | 0.0034433 | 0.0049128 | 0.0082105 | 0.0127338 | 0.0025912 |
| bp[11] | -0.4803541 | 1.1329087 | 68533 | 1.000052 | 69610 | 64482 | 1 | 0.0043264 | -3.3087916 | -2.8121146 | -1.9318844 | -0.4490704 | 0.9337878 | 1.6787520 | 2.0853778 | -2.3958794 | -0.4490704 | 1.3262466 | 0.0174634 | 0.0149733 | 0.0083459 | 0.0044802 | 0.0071956 | 0.0096881 | 0.0178487 | 0.0036089 |
| bp[22] | 1.6767100 | 0.9289026 | 60956 | 1.000048 | 63729 | 58882 | 1 | 0.0037595 | -0.2459579 | 0.0258624 | 0.5446929 | 1.6133656 | 2.8896076 | 3.6811541 | 4.1582541 | 0.2697442 | 1.6133656 | 3.2947503 | 0.0097227 | 0.0069500 | 0.0047321 | 0.0039789 | 0.0075126 | 0.0131919 | 0.0209844 | 0.0028828 |
| bp[20] | 0.2516845 | 0.8258300 | 69082 | 1.000042 | 69516 | 67369 | 1 | 0.0031418 | -1.7135189 | -1.3822578 | -0.7957450 | 0.2527759 | 1.2991746 | 1.8762002 | 2.2079339 | -1.1087104 | 0.2527759 | 1.6070401 | 0.0130444 | 0.0097669 | 0.0053013 | 0.0033187 | 0.0059205 | 0.0102525 | 0.0127038 | 0.0026149 |
| bp[6] | -2.5160719 | 1.2352393 | 64680 | 1.000040 | 68308 | 59595 | 1 | 0.0048559 | -5.8580239 | -5.2361218 | -4.1527289 | -2.4031224 | -1.0280163 | -0.3996788 | -0.0804746 | -4.7024812 | -2.4031224 | -0.6830103 | 0.0233069 | 0.0174985 | 0.0094258 | 0.0053799 | 0.0064490 | 0.0082752 | 0.0104397 | 0.0037187 |
| bp[15] | -2.1629557 | 1.3011072 | 68618 | 1.000040 | 71058 | 61314 | 1 | 0.0049666 | -5.5911018 | -4.9751900 | -3.8820470 | -2.0696193 | -0.5768301 | 0.1138601 | 0.4918438 | -4.4617336 | -2.0696193 | -0.2048360 | 0.0268714 | 0.0175745 | 0.0110835 | 0.0055139 | 0.0063678 | 0.0102224 | 0.0118989 | 0.0038046 |
| bp[18] | -0.4157209 | 0.8552554 | 70147 | 1.000037 | 70918 | 63734 | 1 | 0.0032286 | -2.5601584 | -2.1731708 | -1.5068262 | -0.3914754 | 0.6502427 | 1.1948892 | 1.5145900 | -1.8606331 | -0.3914754 | 0.9387703 | 0.0166903 | 0.0107122 | 0.0059144 | 0.0034418 | 0.0052305 | 0.0085159 | 0.0118768 | 0.0026465 |
| bp[24] | 0.0535242 | 0.8757553 | 62292 | 1.000033 | 62718 | 64007 | 1 | 0.0035085 | -1.9514953 | -1.6345657 | -1.0443626 | 0.0362416 | 1.1711558 | 1.8462487 | 2.2264183 | -1.3635414 | 0.0362416 | 1.5118353 | 0.0123043 | 0.0090243 | 0.0059526 | 0.0039878 | 0.0063134 | 0.0104316 | 0.0169470 | 0.0028103 |
| bp[14] | 0.8371517 | 0.8520636 | 65151 | 1.000024 | 65852 | 66382 | 1 | 0.0033379 | -1.0821988 | -0.7750431 | -0.2233641 | 0.8138383 | 1.9333661 | 2.5827853 | 2.9480563 | -0.5176359 | 0.8138383 | 2.2683222 | 0.0118233 | 0.0081046 | 0.0053730 | 0.0036978 | 0.0056672 | 0.0113982 | 0.0143183 | 0.0025429 |
| bp[9] | 0.5254456 | 1.0119958 | 63071 | 1.000018 | 63340 | 66464 | 1 | 0.0040289 | -1.8900650 | -1.4814139 | -0.7632367 | 0.5312557 | 1.8032569 | 2.5122851 | 2.9020692 | -1.1425839 | 0.5312557 | 2.1774689 | 0.0160601 | 0.0099481 | 0.0066252 | 0.0044118 | 0.0069450 | 0.0114641 | 0.0152061 | 0.0031301 |
| bp[21] | 0.5991239 | 0.7819216 | 65757 | 1.000018 | 66291 | 67777 | 1 | 0.0030476 | -1.2017079 | -0.9160672 | -0.3836045 | 0.5873325 | 1.5968681 | 2.1743505 | 2.4996688 | -0.6646858 | 0.5873325 | 1.9023756 | 0.0093709 | 0.0087739 | 0.0050068 | 0.0032359 | 0.0058471 | 0.0088230 | 0.0121140 | 0.0023282 |
| rowname | mean | sd | n_eff | Rhat | Bulk_ESS | Tail_ESS | valid | se_mean | 1% | 2.5% | 10% | 50% | 90% | 97.5% | 99% | Q5 | Q50 | Q95 | MCSE_Q1 | MCSE_Q2.5 | MCSE_Q10 | MCSE_Q50 | MCSE_Q90 | MCSE_Q97.5 | MCSE_Q99 | MCSE_SD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| v[1] | -2.725741 | 0.2406803 | 10270 | 1.000598 | 10293 | 21057 | 1 | 0.0023726 | -3.307620 | -3.213661 | -3.038203 | -2.719085 | -2.420662 | -2.273063 | -2.194495 | -3.1322 | -2.719085 | -2.340494 | 0.0055224 | 0.0044967 | 0.0032430 | 0.0023683 | 0.0026259 | 0.0031923 | 0.0043103 | 0.0016777 |
| v[2] | 2.412404 | 0.2829256 | 11810 | 1.000555 | 11807 | 25610 | 1 | 0.0026042 | 1.763262 | 1.862920 | 2.051757 | 2.411075 | 2.774773 | 2.972726 | 3.079254 | 1.9479 | 2.411075 | 2.881321 | 0.0050346 | 0.0035228 | 0.0032298 | 0.0027134 | 0.0035238 | 0.0049149 | 0.0058329 | 0.0018415 |
| rowname | mean | sd | n_eff | Rhat | Bulk_ESS | Tail_ESS | valid | se_mean | 1% | 2.5% | 10% | 50% | 90% | 97.5% | 99% | Q5 | Q50 | Q95 | MCSE_Q1 | MCSE_Q2.5 | MCSE_Q10 | MCSE_Q50 | MCSE_Q90 | MCSE_Q97.5 | MCSE_Q99 | MCSE_SD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| rho | 2.312637 | 0.0909529 | 9602 | 1.000547 | 9694 | 9244 | 1 | 0.0009272 | 2.107184 | 2.138144 | 2.197012 | 2.310788 | 2.43065 | 2.493379 | 2.532133 | 2.166746 | 2.310788 | 2.463201 | 0.0034472 | 0.0024223 | 0.0016695 | 0.0008434 | 0.0018009 | 0.0027455 | 0.0045467 | 0.0006584 |
| rowname | mean | sd | n_eff | Rhat | Bulk_ESS | Tail_ESS | valid | se_mean | 1% | 2.5% | 10% | 50% | 90% | 97.5% | 99% | Q5 | Q50 | Q95 | MCSE_Q1 | MCSE_Q2.5 | MCSE_Q10 | MCSE_Q50 | MCSE_Q90 | MCSE_Q97.5 | MCSE_Q99 | MCSE_SD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| v[2] | 2.350835 | 0.2770302 | 6592 | 1.000981 | 6662 | 6036 | 1 | 0.0034068 | 1.694194 | 1.803850 | 1.998920 | 2.350723 | 2.701151 | 2.900099 | 3.003403 | 1.891949 | 2.350723 | 2.799327 | 0.0247256 | 0.0080539 | 0.0053483 | 0.0034634 | 0.0040965 | 0.0081608 | 0.0141375 | 0.0024091 |
| v[1] | -2.645742 | 0.2282998 | 7227 | 1.000474 | 7083 | 5586 | 1 | 0.0026832 | -3.206973 | -3.115058 | -2.947416 | -2.637846 | -2.357425 | -2.220401 | -2.148018 | -3.037339 | -2.637846 | -2.285265 | 0.0112354 | 0.0055653 | 0.0041307 | 0.0026278 | 0.0036899 | 0.0055453 | 0.0113665 | 0.0018974 |
| rowname | mean | sd | n_eff | Rhat | Bulk_ESS | Tail_ESS | valid | se_mean | 1% | 2.5% | 10% | 50% | 90% | 97.5% | 99% | Q5 | Q50 | Q95 | MCSE_Q1 | MCSE_Q2.5 | MCSE_Q10 | MCSE_Q50 | MCSE_Q90 | MCSE_Q97.5 | MCSE_Q99 | MCSE_SD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| V1 | 2.313578 | 0.0915351 | 83292 | 1.000065 | 83478 | 83332 | 1 | 0.0003171 | 2.104902 | 2.137749 | 2.19749 | 2.311566 | 2.431981 | 2.495584 | 2.535545 | 2.166773 | 2.311566 | 2.465292 | 0.001723 | 0.0009257 | 0.0006626 | 0.0003139 | 0.000525 | 0.0009823 | 0.0017215 | 0.0002243 |
| rowname | mean | sd | n_eff | Rhat | Bulk_ESS | Tail_ESS | valid | se_mean | 1% | 2.5% | 10% | 50% | 90% | 97.5% | 99% | Q5 | Q50 | Q95 | MCSE_Q1 | MCSE_Q2.5 | MCSE_Q10 | MCSE_Q50 | MCSE_Q90 | MCSE_Q97.5 | MCSE_Q99 | MCSE_SD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| v[6] | -0.6862690 | 0.1519437 | 3356 | 1.001784 | 3433 | 5883 | 1 | 0.0026253 | -1.084982 | -1.010225 | -0.8863896 | -0.6751899 | -0.49973 | -0.4143506 | -0.36904 | -0.9492081 | -0.6751899 | -0.4535339 | 0.00923 | 0.0064431 | 0.0038809 | 0.0025514 | 0.0027106 | 0.0028321 | 0.0033007 | 0.0018794 |
| NadSurv[4] | 5.4508309 | 1.7705516 | 16831 | 1.000509 | 16916 | 35665 | 1 | 0.0136231 | 2.000000 | 2.000000 | 3.0000000 | 5.0000000 | 8.00000 | 9.0000000 | 10.00000 | 3.0000000 | 5.0000000 | 8.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0096332 |
| NadSurv[14] | 4.6615247 | 1.6553625 | 19501 | 1.000457 | 19722 | 44608 | 1 | 0.0118111 | 1.000000 | 2.000000 | 3.0000000 | 5.0000000 | 7.00000 | 8.0000000 | 9.00000 | 2.0000000 | 5.0000000 | 7.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0083518 |
| NadSurv[3] | 4.8563762 | 1.7296525 | 16615 | 1.000429 | 16728 | 40972 | 1 | 0.0133989 | 1.000000 | 2.000000 | 3.0000000 | 5.0000000 | 7.00000 | 8.0000000 | 9.00000 | 2.0000000 | 5.0000000 | 8.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0094746 |
| Nadimm[18] | 3.6809840 | 1.6649611 | 25953 | 1.000427 | 25686 | 51819 | 1 | 0.0103377 | 0.000000 | 1.000000 | 2.0000000 | 4.0000000 | 6.00000 | 7.0000000 | 8.00000 | 1.0000000 | 4.0000000 | 7.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0073100 |
| NadSurv[9] | 4.1314899 | 1.5729343 | 21668 | 1.000422 | 21675 | 41126 | 1 | 0.0106908 | 1.000000 | 1.000000 | 2.0000000 | 4.0000000 | 6.00000 | 7.0000000 | 8.00000 | 2.0000000 | 4.0000000 | 7.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0075596 |
| NadSurv[5] | 6.1299732 | 1.8986578 | 18143 | 1.000391 | 18275 | 44343 | 1 | 0.0140979 | 2.000000 | 3.000000 | 4.0000000 | 6.0000000 | 9.00000 | 10.0000000 | 11.00000 | 3.0000000 | 6.0000000 | 9.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0099689 |
| NadSurv[13] | 4.6098972 | 1.6268728 | 19714 | 1.000378 | 19797 | 45754 | 1 | 0.0115855 | 1.000000 | 2.000000 | 3.0000000 | 5.0000000 | 7.00000 | 8.0000000 | 9.00000 | 2.0000000 | 5.0000000 | 7.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0081923 |
| Nadimm[23] | 6.9854909 | 2.2064485 | 20442 | 1.000369 | 20016 | 33951 | 1 | 0.0154385 | 2.000000 | 3.000000 | 4.0000000 | 7.0000000 | 10.00000 | 12.0000000 | 13.00000 | 4.0000000 | 7.0000000 | 11.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.5000000 | 0.0109168 |
| Nadimm[13] | 5.5518193 | 1.9976574 | 22352 | 1.000367 | 22248 | 51226 | 1 | 0.0133614 | 1.000000 | 2.000000 | 3.0000000 | 5.0000000 | 8.00000 | 10.0000000 | 11.00000 | 2.0000000 | 5.0000000 | 9.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0094481 |
| Nadimm[19] | 3.2205194 | 1.5447992 | 29925 | 1.000355 | 29834 | 49861 | 1 | 0.0089275 | 0.000000 | 1.000000 | 1.0000000 | 3.0000000 | 5.00000 | 6.0000000 | 7.00000 | 1.0000000 | 3.0000000 | 6.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.5000000 | 0.0000000 | 0.0063128 |
| NadSurv[6] | 6.0853709 | 1.9210832 | 17420 | 1.000354 | 17493 | 44450 | 1 | 0.0145498 | 2.000000 | 3.000000 | 4.0000000 | 6.0000000 | 9.00000 | 10.0000000 | 11.00000 | 3.0000000 | 6.0000000 | 9.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0102884 |
| Nadimm[14] | 5.3776105 | 1.9791212 | 20906 | 1.000338 | 20897 | 51046 | 1 | 0.0136903 | 1.000000 | 2.000000 | 3.0000000 | 5.0000000 | 8.00000 | 10.0000000 | 10.00000 | 2.0000000 | 5.0000000 | 9.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0096806 |
| NadSurv[7] | 5.4907995 | 1.8387224 | 18956 | 1.000326 | 18978 | 35788 | 1 | 0.0133526 | 2.000000 | 2.000000 | 3.0000000 | 5.0000000 | 8.00000 | 9.0000000 | 10.00000 | 3.0000000 | 5.0000000 | 9.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0094419 |
| NadSurv[8] | 4.6568162 | 1.7023023 | 20649 | 1.000320 | 20646 | 43061 | 1 | 0.0118511 | 1.000000 | 2.000000 | 3.0000000 | 5.0000000 | 7.00000 | 8.0000000 | 9.00000 | 2.0000000 | 5.0000000 | 8.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0083801 |
| Nadimm[25] | 8.9644816 | 2.6313195 | 14647 | 1.000310 | 14492 | 31890 | 1 | 0.0217464 | 3.000000 | 4.000000 | 6.0000000 | 9.0000000 | 12.00000 | 14.0000000 | 16.00000 | 5.0000000 | 9.0000000 | 13.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0153773 |
| Nadimm[12] | 5.1735920 | 1.9128637 | 25200 | 1.000305 | 25185 | 49013 | 1 | 0.0120555 | 1.000000 | 2.000000 | 3.0000000 | 5.0000000 | 8.00000 | 9.0000000 | 10.00000 | 2.0000000 | 5.0000000 | 8.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0085246 |
| Nadimm[11] | 4.8188576 | 1.8597645 | 24603 | 1.000299 | 24668 | 47314 | 1 | 0.0118478 | 1.000000 | 2.000000 | 3.0000000 | 5.0000000 | 7.00000 | 9.0000000 | 10.00000 | 2.0000000 | 5.0000000 | 8.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0083778 |
| NadSurv[15] | 4.5174675 | 1.6389903 | 20359 | 1.000285 | 20493 | 45101 | 1 | 0.0114645 | 1.000000 | 2.000000 | 2.0000000 | 4.0000000 | 7.00000 | 8.0000000 | 9.00000 | 2.0000000 | 4.0000000 | 7.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0081067 |
| Nadimm[24] | 7.8618431 | 2.4024294 | 17992 | 1.000282 | 17912 | 39615 | 1 | 0.0178877 | 3.000000 | 3.000000 | 5.0000000 | 8.0000000 | 11.00000 | 13.0000000 | 14.00000 | 4.0000000 | 8.0000000 | 12.0000000 | 0.00000 | 0.5000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0126487 |
| NadSurv[2] | 5.2024351 | 1.8608598 | 16685 | 1.000278 | 16834 | 39764 | 1 | 0.0144102 | 1.000000 | 2.000000 | 3.0000000 | 5.0000000 | 8.00000 | 9.0000000 | 10.00000 | 2.0000000 | 5.0000000 | 8.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0101898 |
| Nadimm[26] | 9.7914479 | 2.9884284 | 14502 | 1.000266 | 14309 | 32517 | 1 | 0.0247772 | 4.000000 | 4.000000 | 6.0000000 | 10.0000000 | 14.00000 | 16.0000000 | 17.00000 | 5.0000000 | 10.0000000 | 15.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0175205 |
| Nadimm[5] | 7.4730320 | 2.3407114 | 17271 | 1.000251 | 17181 | 34559 | 1 | 0.0177969 | 3.000000 | 3.000000 | 5.0000000 | 7.0000000 | 11.00000 | 12.0000000 | 13.00000 | 4.0000000 | 7.0000000 | 11.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.5000000 | 0.0000000 | 0.0000000 | 0.0125845 |
| NadSurv[12] | 4.3107155 | 1.5760094 | 21816 | 1.000249 | 21991 | 44743 | 1 | 0.0106623 | 1.000000 | 1.000000 | 2.0000000 | 4.0000000 | 6.00000 | 8.0000000 | 8.00000 | 2.0000000 | 4.0000000 | 7.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.5000000 | 0.0000000 | 0.0075395 |
| Nadimm[8] | 4.9361301 | 1.9456982 | 22369 | 1.000234 | 22076 | 43268 | 1 | 0.0129732 | 1.000000 | 2.000000 | 3.0000000 | 5.0000000 | 7.00000 | 9.0000000 | 10.00000 | 2.0000000 | 5.0000000 | 8.0000000 | 0.00000 | 0.5000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0091735 |
| Nadimm[9] | 4.5422104 | 1.8319302 | 23629 | 1.000233 | 23522 | 43326 | 1 | 0.0118770 | 1.000000 | 1.000000 | 2.0000000 | 4.0000000 | 7.00000 | 8.0000000 | 9.00000 | 2.0000000 | 4.0000000 | 8.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0083984 |
| Nadimm[20] | 3.5037252 | 1.5706212 | 32307 | 1.000226 | 32467 | 59667 | 1 | 0.0087339 | 0.000000 | 1.000000 | 2.0000000 | 3.0000000 | 6.00000 | 7.0000000 | 8.00000 | 1.0000000 | 3.0000000 | 6.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0061759 |
| Nadimm[3] | 5.5588696 | 2.0198787 | 22002 | 1.000222 | 21970 | 54996 | 1 | 0.0135979 | 1.000000 | 2.000000 | 3.0000000 | 5.0000000 | 8.00000 | 10.0000000 | 11.00000 | 2.0000000 | 5.0000000 | 9.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0096153 |
| NadSurv[24] | 6.2931313 | 1.9161487 | 16541 | 1.000218 | 16507 | 38271 | 1 | 0.0148836 | 2.000000 | 3.000000 | 4.0000000 | 6.0000000 | 9.00000 | 10.0000000 | 11.00000 | 3.0000000 | 6.0000000 | 9.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0105245 |
| Nadimm[21] | 4.5926630 | 1.7479788 | 26674 | 1.000217 | 26597 | 49499 | 1 | 0.0107010 | 1.000000 | 2.000000 | 2.0000000 | 4.0000000 | 7.00000 | 8.0000000 | 9.00000 | 2.0000000 | 4.0000000 | 8.0000000 | 0.00000 | 0.5000000 | 0.0000000 | 0.5000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0075668 |
| Nadimm[7] | 6.0377602 | 2.1474640 | 19256 | 1.000215 | 19266 | 38424 | 1 | 0.0154518 | 2.000000 | 2.000000 | 3.0000000 | 6.0000000 | 9.00000 | 11.0000000 | 11.00000 | 3.0000000 | 6.0000000 | 10.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.5000000 | 0.0000000 | 0.0109262 |
| NadSurv[11] | 4.0924463 | 1.5542426 | 21446 | 1.000212 | 21605 | 41921 | 1 | 0.0106190 | 1.000000 | 1.000000 | 2.0000000 | 4.0000000 | 6.00000 | 7.0000000 | 8.00000 | 2.0000000 | 4.0000000 | 7.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0075088 |
| Nadimm[15] | 5.1316566 | 1.9449519 | 22896 | 1.000211 | 22758 | 45295 | 1 | 0.0128330 | 1.000000 | 2.000000 | 3.0000000 | 5.0000000 | 8.00000 | 9.0000000 | 10.00000 | 2.0000000 | 5.0000000 | 8.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0090744 |
| NadSurv[23] | 5.4534977 | 1.7569923 | 18558 | 1.000201 | 18774 | 39672 | 1 | 0.0128813 | 2.000000 | 2.000000 | 3.0000000 | 5.0000000 | 8.00000 | 9.0000000 | 10.00000 | 3.0000000 | 5.0000000 | 8.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0091591 |
| NadSurv[20] | 2.9719986 | 1.3027720 | 25112 | 1.000194 | 25394 | 47725 | 1 | 0.0082141 | 0.000000 | 1.000000 | 1.0000000 | 3.0000000 | 5.00000 | 6.0000000 | 6.00000 | 1.0000000 | 3.0000000 | 5.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0058083 |
| Nadimm[2] | 5.5000667 | 2.0648413 | 22035 | 1.000191 | 22113 | 51874 | 1 | 0.0138860 | 1.000000 | 2.000000 | 3.0000000 | 5.0000000 | 8.00000 | 10.0000000 | 11.00000 | 2.0000000 | 5.0000000 | 9.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0098190 |
| Nadimm[1] | 4.6633082 | 3.1525834 | 34784 | 1.000188 | 36188 | 62840 | 1 | 0.0168993 | 1.000000 | 1.000000 | 1.0000000 | 4.0000000 | 9.00000 | 12.0000000 | 14.00000 | 1.0000000 | 4.0000000 | 11.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0119497 |
| NadSurv[21] | 3.5040252 | 1.3856827 | 22466 | 1.000169 | 22611 | 52010 | 1 | 0.0092515 | 1.000000 | 1.000000 | 2.0000000 | 3.0000000 | 5.00000 | 6.0000000 | 7.00000 | 1.0000000 | 3.0000000 | 6.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0065419 |
| NadSurv[19] | 2.9996750 | 1.3419190 | 23376 | 1.000167 | 23519 | 46175 | 1 | 0.0087620 | 0.000000 | 1.000000 | 1.0000000 | 3.0000000 | 5.00000 | 6.0000000 | 6.00000 | 1.0000000 | 3.0000000 | 5.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0061958 |
| NadSurv[26] | 7.9594480 | 2.2595841 | 19794 | 1.000166 | 19787 | 47500 | 1 | 0.0160462 | 3.000000 | 4.000000 | 5.0000000 | 8.0000000 | 11.00000 | 13.0000000 | 13.00000 | 4.0000000 | 8.0000000 | 12.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.5000000 | 0.0113465 |
| NadSurv[16] | 4.4061286 | 1.6045538 | 21303 | 1.000166 | 21480 | 46086 | 1 | 0.0109877 | 1.000000 | 1.000000 | 2.0000000 | 4.0000000 | 6.00000 | 8.0000000 | 8.00000 | 2.0000000 | 4.0000000 | 7.0000000 | 0.00000 | 0.5000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0077696 |
| N1[12] | 0.8067570 | 0.8898625 | 45978 | 1.000160 | 46940 | 58730 | 1 | 0.0041477 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 2.00000 | 3.0000000 | 3.00000 | 0.0000000 | 1.0000000 | 2.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0029329 |
| Nadimm[16] | 5.0665283 | 1.9162455 | 22569 | 1.000159 | 22507 | 45095 | 1 | 0.0127523 | 1.000000 | 2.000000 | 3.0000000 | 5.0000000 | 8.00000 | 9.0000000 | 10.00000 | 2.0000000 | 5.0000000 | 8.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0090173 |
| N1[11] | 0.7447539 | 0.8544951 | 44945 | 1.000159 | 46607 | 58301 | 1 | 0.0040213 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 2.00000 | 3.0000000 | 3.00000 | 0.0000000 | 1.0000000 | 2.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0028688 |
| Nadimm[17] | 4.5196010 | 1.8215553 | 22595 | 1.000154 | 22346 | 39371 | 1 | 0.0121169 | 1.000000 | 1.000000 | 2.0000000 | 4.0000000 | 7.00000 | 8.0000000 | 9.00000 | 2.0000000 | 4.0000000 | 8.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0085681 |
| N1[18] | 0.5631615 | 0.7398853 | 45944 | 1.000151 | 46639 | 53423 | 1 | 0.0034509 | 0.000000 | 0.000000 | 0.0000000 | 0.0000000 | 2.00000 | 2.0000000 | 3.00000 | 0.0000000 | 0.0000000 | 2.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0024401 |
| Nadimm[4] | 7.0186176 | 2.2142808 | 19248 | 1.000140 | 19196 | 34849 | 1 | 0.0159227 | 2.000000 | 3.000000 | 4.0000000 | 7.0000000 | 10.00000 | 12.0000000 | 13.00000 | 4.0000000 | 7.0000000 | 11.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0112592 |
| NadSurv[18] | 3.4831075 | 1.4523172 | 23480 | 1.000134 | 23680 | 48595 | 1 | 0.0094586 | 1.000000 | 1.000000 | 2.0000000 | 3.0000000 | 5.00000 | 6.0000000 | 7.00000 | 1.0000000 | 3.0000000 | 6.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0066883 |
| NadSurv[17] | 4.0997967 | 1.5580729 | 21364 | 1.000132 | 21483 | 42484 | 1 | 0.0106618 | 1.000000 | 1.000000 | 2.0000000 | 4.0000000 | 6.00000 | 7.0000000 | 8.00000 | 2.0000000 | 4.0000000 | 7.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0075392 |
| NadSurv[25] | 7.1579829 | 2.0663293 | 16739 | 1.000130 | 16848 | 36913 | 1 | 0.0159403 | 3.000000 | 3.000000 | 5.0000000 | 7.0000000 | 10.00000 | 11.0000000 | 12.00000 | 4.0000000 | 7.0000000 | 11.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0112717 |
| Nadimm[10] | 4.6617331 | 1.8415018 | 25351 | 1.000128 | 25410 | 45143 | 1 | 0.0115422 | 1.000000 | 1.000000 | 2.0000000 | 5.0000000 | 7.00000 | 8.0000000 | 9.00000 | 2.0000000 | 5.0000000 | 8.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.5000000 | 0.0000000 | 0.0081617 |
| Nadimm[6] | 6.9006200 | 2.2841271 | 19225 | 1.000123 | 19160 | 46449 | 1 | 0.0164669 | 2.000000 | 3.000000 | 4.0000000 | 7.0000000 | 10.00000 | 12.0000000 | 13.00000 | 3.0000000 | 7.0000000 | 11.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0116440 |
| NadSurv[10] | 4.0286348 | 1.5295478 | 23887 | 1.000120 | 23879 | 41149 | 1 | 0.0099006 | 1.000000 | 1.000000 | 2.0000000 | 4.0000000 | 6.00000 | 7.0000000 | 8.00000 | 2.0000000 | 4.0000000 | 7.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0070009 |
| N1[26] | 1.5066920 | 1.2451104 | 48388 | 1.000118 | 49713 | 68430 | 1 | 0.0056569 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 3.00000 | 4.0000000 | 5.00000 | 0.0000000 | 1.0000000 | 4.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0040001 |
| NadSurv[1] | 4.6987266 | 3.1590419 | 36483 | 1.000117 | 37885 | 69034 | 1 | 0.0165357 | 1.000000 | 1.000000 | 1.0000000 | 4.0000000 | 9.00000 | 12.0000000 | 14.00000 | 1.0000000 | 4.0000000 | 11.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0116926 |
| N1[23] | 1.0755538 | 1.0285444 | 44277 | 1.000117 | 45446 | 61798 | 1 | 0.0048810 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 2.00000 | 3.0000000 | 4.00000 | 0.0000000 | 1.0000000 | 3.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0034514 |
| N1[25] | 1.3867943 | 1.1833375 | 42326 | 1.000110 | 44142 | 65414 | 1 | 0.0057501 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 3.00000 | 4.0000000 | 5.00000 | 0.0000000 | 1.0000000 | 4.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0041389 |
| N1[3] | 0.8690185 | 0.9285401 | 42414 | 1.000109 | 43749 | 57103 | 1 | 0.0045031 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 2.00000 | 3.0000000 | 4.00000 | 0.0000000 | 1.0000000 | 3.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0032195 |
| N1[6] | 1.0688618 | 1.0287023 | 42691 | 1.000107 | 44235 | 58918 | 1 | 0.0049736 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 2.00000 | 3.0000000 | 4.00000 | 0.0000000 | 1.0000000 | 3.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0035896 |
| N1[2] | 0.8486924 | 0.9167185 | 44229 | 1.000089 | 45109 | 57905 | 1 | 0.0043576 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 2.00000 | 3.0000000 | 4.00000 | 0.0000000 | 1.0000000 | 3.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0030813 |
| N1[14] | 0.8304665 | 0.9050226 | 44022 | 1.000087 | 45284 | 59122 | 1 | 0.0043106 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 2.00000 | 3.0000000 | 3.00000 | 0.0000000 | 1.0000000 | 3.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.5000000 | 0.0030509 |
| N1[7] | 0.9307465 | 0.9565341 | 47056 | 1.000087 | 48260 | 62642 | 1 | 0.0044081 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 2.00000 | 3.0000000 | 4.00000 | 0.0000000 | 1.0000000 | 3.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0031170 |
| N1[5] | 1.1593996 | 1.0790903 | 40776 | 1.000071 | 42444 | 63073 | 1 | 0.0053365 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 3.00000 | 4.0000000 | 4.00000 | 0.0000000 | 1.0000000 | 3.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0037735 |
| Nadimm[22] | 5.9618898 | 1.9911815 | 27008 | 1.000067 | 26868 | 47699 | 1 | 0.0121123 | 2.000000 | 2.000000 | 3.0000000 | 6.0000000 | 9.00000 | 10.0000000 | 11.00000 | 3.0000000 | 6.0000000 | 9.0000000 | 0.00000 | 0.0000000 | 0.5000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0085648 |
| N1[22] | 0.9236545 | 0.9563472 | 39615 | 1.000067 | 40804 | 55561 | 1 | 0.0048008 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 2.00000 | 3.0000000 | 4.00000 | 0.0000000 | 1.0000000 | 3.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0033947 |
| N1[24] | 1.2186109 | 1.1040302 | 44237 | 1.000065 | 45752 | 62132 | 1 | 0.0052445 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 3.00000 | 4.0000000 | 4.00000 | 0.0000000 | 1.0000000 | 3.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0037274 |
| NadSurv[22] | 4.4507392 | 1.5627018 | 20845 | 1.000065 | 20893 | 46495 | 1 | 0.0108378 | 1.000000 | 2.000000 | 3.0000000 | 4.0000000 | 6.00000 | 8.0000000 | 8.00000 | 2.0000000 | 4.0000000 | 7.0000000 | 0.00000 | 0.0000000 | 0.5000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0076636 |
| N1[20] | 0.5426105 | 0.7252949 | 42570 | 1.000064 | 43576 | 51907 | 1 | 0.0035093 | 0.000000 | 0.000000 | 0.0000000 | 0.0000000 | 2.00000 | 2.0000000 | 3.00000 | 0.0000000 | 0.0000000 | 2.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.5000000 | 0.0000000 | 0.0000000 | 0.0024815 |
| N1[9] | 0.7016017 | 0.8331587 | 47440 | 1.000063 | 48750 | 57803 | 1 | 0.0038259 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 2.00000 | 3.0000000 | 3.00000 | 0.0000000 | 1.0000000 | 2.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0027531 |
| N1[1] | 4.6665500 | 3.1515519 | 35968 | 1.000062 | 37611 | 64222 | 1 | 0.0166137 | 1.000000 | 1.000000 | 1.0000000 | 4.0000000 | 9.00000 | 12.0000000 | 14.00000 | 1.0000000 | 4.0000000 | 11.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0117478 |
| N1[15] | 0.7971982 | 0.8870331 | 45341 | 1.000053 | 46608 | 57713 | 1 | 0.0041643 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 2.00000 | 3.0000000 | 3.00000 | 0.0000000 | 1.0000000 | 2.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0029466 |
| N1[17] | 0.7047436 | 0.8325624 | 45662 | 1.000051 | 47138 | 58343 | 1 | 0.0038895 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 2.00000 | 3.0000000 | 3.00000 | 0.0000000 | 1.0000000 | 2.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0027623 |
| N1[4] | 1.0857710 | 1.0341532 | 40187 | 1.000049 | 41474 | 56645 | 1 | 0.0051563 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 2.00000 | 3.0000000 | 4.00000 | 0.0000000 | 1.0000000 | 3.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0036778 |
| N1[10] | 0.7246112 | 0.8417330 | 40869 | 1.000044 | 41527 | 51082 | 1 | 0.0041608 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 2.00000 | 3.0000000 | 3.00000 | 0.0000000 | 1.0000000 | 2.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0029422 |
| N1[13] | 0.8679851 | 0.9250754 | 41967 | 1.000041 | 42941 | 55523 | 1 | 0.0045125 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 2.00000 | 3.0000000 | 4.00000 | 0.0000000 | 1.0000000 | 3.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0031909 |
| N1[21] | 0.7174942 | 0.8372835 | 40717 | 1.000036 | 41880 | 52784 | 1 | 0.0041479 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 2.00000 | 3.0000000 | 3.00000 | 0.0000000 | 1.0000000 | 2.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0029330 |
| N1[16] | 0.7821891 | 0.8794729 | 47440 | 1.000030 | 48101 | 59266 | 1 | 0.0040348 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 2.00000 | 3.0000000 | 3.00000 | 0.0000000 | 1.0000000 | 2.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0028531 |
| N1[19] | 0.4928830 | 0.6937206 | 43028 | 1.000015 | 43591 | 50706 | 1 | 0.0033380 | 0.000000 | 0.000000 | 0.0000000 | 0.0000000 | 1.00000 | 2.0000000 | 3.00000 | 0.0000000 | 0.0000000 | 2.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0023604 |
| N1[8] | 0.7521293 | 0.8611415 | 45991 | 1.000012 | 47072 | 59563 | 1 | 0.0040128 | 0.000000 | 0.000000 | 0.0000000 | 1.0000000 | 2.00000 | 3.0000000 | 3.00000 | 0.0000000 | 1.0000000 | 2.0000000 | 0.00000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0028375 |
| rowname | mean | sd | n_eff | Rhat | Bulk_ESS | Tail_ESS | valid | se_mean | 1% | 2.5% | 10% | 50% | 90% | 97.5% | 99% | Q5 | Q50 | Q95 | MCSE_Q1 | MCSE_Q2.5 | MCSE_Q10 | MCSE_Q50 | MCSE_Q90 | MCSE_Q97.5 | MCSE_Q99 | MCSE_SD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| v[1] | -2.711037 | 0.2369906 | 57558 | 1.000070 | 59143 | 39544 | 1 | 0.0009876 | -3.290523 | -3.191725 | -3.025250 | -2.701560 | -2.412521 | -2.270441 | -2.193945 | -3.115577 | -2.701560 | -2.335875 | 0.0034796 | 0.0035754 | 0.0017630 | 0.0009705 | 0.0012318 | 0.0013036 | 0.0042398 | 0.0007127 |
| v[2] | 2.429981 | 0.2823230 | 57432 | 1.000028 | 57864 | 37944 | 1 | 0.0011779 | 1.772455 | 1.879334 | 2.072495 | 2.428945 | 2.788318 | 2.995660 | 3.110664 | 1.971681 | 2.428945 | 2.906384 | 0.0031161 | 0.0025336 | 0.0011746 | 0.0010960 | 0.0021679 | 0.0044464 | 0.0030344 | 0.0008579 |
| rowname | mean | sd | n_eff | Rhat | Bulk_ESS | Tail_ESS | valid | se_mean | 1% | 2.5% | 10% | 50% | 90% | 97.5% | 99% | Q5 | Q50 | Q95 | MCSE_Q1 | MCSE_Q2.5 | MCSE_Q10 | MCSE_Q50 | MCSE_Q90 | MCSE_Q97.5 | MCSE_Q99 | MCSE_SD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| V1 | 2.313293 | 0.0917747 | 79944 | 1.000039 | 79953 | 77663 | 1 | 0.0003245 | 2.102633 | 2.13541 | 2.196671 | 2.311593 | 2.431567 | 2.496874 | 2.535375 | 2.165855 | 2.311593 | 2.465729 | 0.0015128 | 0.0009874 | 0.0005284 | 0.0003218 | 0.0006383 | 0.0009728 | 0.0017118 | 0.0002295 |
| rowname | mean | sd | n_eff | Rhat | Bulk_ESS | Tail_ESS | valid | se_mean | 1% | 2.5% | 10% | 50% | 90% | 97.5% | 99% | Q5 | Q50 | Q95 | MCSE_Q1 | MCSE_Q2.5 | MCSE_Q10 | MCSE_Q50 | MCSE_Q90 | MCSE_Q97.5 | MCSE_Q99 | MCSE_SD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| v[2] | 2.431417 | 0.2812618 | 56392 | 1.000062 | 56971 | 36538 | 1 | 0.0011840 | 1.779163 | 1.880589 | 2.074372 | 2.430782 | 2.786609 | 2.990856 | 3.110918 | 1.972026 | 2.430782 | 2.899752 | 0.0026286 | 0.0018991 | 0.0016091 | 0.0012908 | 0.0013210 | 0.0037523 | 0.0067270 | 0.0008648 |
| v[1] | -2.711882 | 0.2361377 | 57101 | 1.000035 | 58735 | 38589 | 1 | 0.0009878 | -3.286662 | -3.196056 | -3.024239 | -2.703841 | -2.412637 | -2.272623 | -2.197973 | -3.116094 | -2.703841 | -2.337843 | 0.0056034 | 0.0048787 | 0.0019823 | 0.0010644 | 0.0011377 | 0.0017228 | 0.0021783 | 0.0007143 |
| rowname | mean | sd | n_eff | Rhat | Bulk_ESS | Tail_ESS | valid | se_mean | 1% | 2.5% | 10% | 50% | 90% | 97.5% | 99% | Q5 | Q50 | Q95 | MCSE_Q1 | MCSE_Q2.5 | MCSE_Q10 | MCSE_Q50 | MCSE_Q90 | MCSE_Q97.5 | MCSE_Q99 | MCSE_SD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| V1 | 2.313628 | 0.0913447 | 80784 | 1.00007 | 80875 | 78634 | 1 | 0.0003213 | 2.106583 | 2.138034 | 2.197419 | 2.311681 | 2.431457 | 2.495966 | 2.535676 | 2.166966 | 2.311681 | 2.465212 | 0.0012771 | 0.0008885 | 0.0007219 | 0.0003418 | 0.0006607 | 0.000957 | 0.0016921 | 0.0002273 |
There are no \(\psi_{2}\) diagnostics for log/linear pooling, as we simply reweight the PoE samples to do log/linear pooling in this example, so the mixing is entirely determined by the mixing of \(\boldsymbol{\phi}\).